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6. AI Agents
Section
Date and time
October 3, 2025,
14:00 (Tomsk)
10:00 (Moscow)
Venue
Tomsk, National Research Tomsk State University, Scientific Library, Cyber Classroom
Participation Format
in-person, online
Section organizers
AI agents—systems capable of autonomous perception, decision-making, and action to achieve set objectives—are becoming a pivotal direction in AI development. These intelligent entities promise to fundamentally transform human interaction with the digital world by automating complex multi-step tasks, serving as personalized assistants, and revolutionizing business processes across industries. The potential of AI agents is vast, ranging from logistics and production optimization to advanced interfaces and new forms of collaboration. However, their increasing autonomy and learning capabilities raise critical concerns regarding safety, accountability, ethical dilemmas, and the need for robust control mechanisms.
Section Overview
The Section will explore current advancements, promising applications, architectural approaches, as well as risks and ethical considerations associated with the development and use of autonomous intelligent systems.
Discussion
Technological foundations for creating AI agents: large language models, reinforcement learning, multi-agent systems
Applied aspects of AI agents: from personal assistants to industrial control systems and scientific research
Human-AI agent interaction: interfaces, trust, collaboration, and control
Ethical dilemmas and accountability in the use of autonomous AI agents
Security, reliability, and predictability of AI agent behavior
Prospects for the development of AI agents and their impact on society, the economy, and daily life
Approaches to regulation and standardization in AI agent development and deployment
Press release


The AI Agents section, held in Tomsk on October 3, became a platform for a multilateral discussion of the practical implementation and development of intelligent agents in various fields.
During the meeting, both fundamental research and applied cases were touched upon, which allowed us to identify several key areas and conclusions.
Key issues and accents:
  • Fundamental research and tools: The reports were devoted to the development of AI agent architectures, including the use of multi-head attention on affordable hardware and the automatic generation of computational graphs from scientific texts. This highlights the trend towards more efficient and interpretable models.
  • Applied implementation in industries: A significant number of presentations demonstrated the real-world use of AI agents in specific sectors:
  1. Medicine and healthcare: ethical aspects, risks and potential of agents in pediatrics and general healthcare were discussed.
  2. IT and business architecture: issues of managing the complexity of IT landscapes after import substitution and automating the creation of development artifacts were considered.
  3. Industry and science: multi-agent systems for collecting radiophysical data and automated monitoring of the use of digital technologies in enterprises are described.
  • Social and ethical aspects: Several reports raised issues beyond the scope of pure technology: the ethics of application, user perception, and the definition of the meaning and purpose of agents in human-machine interaction.
Key conclusions: AI agents have moved from the experimental stage to the stage of active implementation in critically important and everyday processes, from medicine and education to industry and public administration. There is a demand for the "democratization" of technologies — the development of powerful models capable of running on affordable hardware and tools for their creation (n8n, development automation). Ethical and social challenges (trust, transparency, restrictions) require no less close attention than technological ones, especially in sensitive areas such as health and education. The development of agents leads to the transformation of professions and creates the need for new competencies, which poses new challenges to the education system.
The section confirmed that the topic of AI agents is one of the most dynamic and interdisciplinary, combining the efforts of mathematicians, engineers, humanities and industry specialists to create effective and socially responsible intelligent systems.
Moderators
  • Vyacheslav Leonidovich Goiko
    Director General of the University Consortium of Big Data Researchers Association
  • Dammer Diana Damirovna
    Candidate of Physical and Mathematical Sciences, Associate Professor, Department of Probability Theory and Mathematical Statistics, Institute of Applied Mathematics and Computer Science, Tomsk State University
Contacts for communication
buzaev92@icloud.com
@albuzaev
Section Coordinator
Buzaev Alexander Alexandrovich, Senior Researcher at Tomsk State University
Answers to frequently asked questions
The conference is intended for researchers, teachers, representatives of business and government agencies, as well as anyone interested in the impact of generative AI on modern industries. Participation will be especially useful for those who want to understand the practical application of technologies, their regulation and ethical aspects.
Documents
International Scientific and Practical Conference Generative Artificial Intelligence in Economic and Social Sectors: Pro&Contra 2025
GAI:PRO&CONTRA